{"id":"W1498109303","doi":"10.29173/cais174","title":"Complementary or Discrete Contexts in Online Indexing: A Comparison of User, Creator and Intermediary Keywords","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Search engine indexing; Humanities; Point (geometry); Computer science; Art; World Wide Web; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0007812919,0.0003430959,0.0008777429,0.0002831329,0.0002137336,0.004282437,0.001842169,0.0001933266,0.0002848484],"category_scores_gemma":[0.007635044,0.0002615407,0.0001264921,0.0002054408,0.001729275,0.01429623,0.001140072,0.000755219,0.000001400133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007905831,"about_ca_system_score_gemma":0.0002393988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009943612,"about_ca_topic_score_gemma":0.003367254,"domain_scores_codex":[0.9976417,0.0001084138,0.001079842,0.0003070819,0.0004341818,0.0004287767],"domain_scores_gemma":[0.9786382,0.0004835026,0.001324467,0.0002935146,0.01910055,0.0001597723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004165505,0.000913265,0.6673952,0.001236743,0.000229653,8.440432e-7,0.230169,0.000001381493,0.002167437,0.06833953,0.0121478,0.01698262],"study_design_scores_gemma":[0.002855018,0.001691925,0.552753,0.005468726,0.0002940338,0.00002113991,0.1175028,0.002216237,0.003370877,0.008823964,0.304238,0.000764253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979964,0.00218585,0.00000326033,0.01173934,0.0002659977,0.0005634821,0.0009226213,0.00001978049,0.004335639],"genre_scores_gemma":[0.9958786,0.0006365488,0.0003168882,0.000230055,0.0001441646,0.00003243809,0.00004595954,0.00002830057,0.002687076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2920902,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615130863840024,"score_gpt":0.2937453815662746,"score_spread":0.2475940729278743,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}